About Credo AI

The Credo AI Governance Platform operates as the trust layer for global enterprises focused on transforming their organizations with AI. It is powered by a knowledge graph that is updated by agents, enriched with global regulatory intelligence and curated business context, supported by Forward-Deployed Experts, giving enterprises a clear view of the risk profile behind every AI system. By making that risk visible, we enable teams to move quickly and confidently scale across systems to adopt compliant AI, faster and in a compliant manner.

About Us

Credo AI is a leading AI governance platform helping enterprises implement responsible AI at scale. We are building the next generation of AI-powered governance solutions that enable organizations to manage risk, ensure compliance, and scale their AI deployments with confidence.

About the Role

This is a full-time remote role for a Senior AI Research Engineer focused on governance automation. You will lead the development of our AI Governance Agent initiative, creating intelligent systems that dramatically reduce the human effort required for effective AI governance. Your work will transform how organizations approach AI risk management and compliance, making robust governance scalable even as AI deployments multiply.

You will prototype, validate, and refine AI capabilities that assist in risk identification, control selection, evidence evaluation, and ultimately complete governance workflows. As this work matures, you'll expand into broader scalable oversight challenges, developing novel approaches to governance that leverage AI's capabilities while maintaining appropriate human judgment.

Key Responsibilities

Support design and development of the Credo AI Agent, an intelligent assistant that helps streamline governance workflows

Create hybrid systems that blend rule-based foundations with advanced AI capabilities

Build prototypes in our Labs environment that demonstrate immediate value while validating longer-term approaches

Research and implement state-of-the-art approaches to AI alignment, evaluation, and oversight

Collaborate with product, engineering, and customer-facing teams to transform prototypes into production systems

Drive thought leadership in AI governance automation through publications and presentations

About You

You're passionate about solving the meta-problem of AI governance with AI itself. You understand that effective oversight requires both strong technical capabilities and nuanced understanding of governance and risk. You thrive in ambiguous problem spaces and can build pragmatic solutions that deliver immediate value while advancing longer-term research goals.

Minimum Qualifications

Advanced degree in Computer Science, AI/ML, or equivalent experience

3+ years experience developing and deploying production LLM-based systems

Demonstrated expertise in prompt engineering, retrieval-augmented generation, and LLM alignment

Experience building agents or complex AI systems with multiple components

Proficiency in Python and modern AI development stacks

Strong understanding of AI risks, governance frameworks, or compliance requirements

Excellent communication skills with ability to translate complex technical concepts for diverse stakeholders

Preferred Qualifications

Experience with risk management, compliance, or governance systems

Background in AI safety, alignment, or responsible AI research

Track record of developing innovative AI applications that address real-world problems

Experience with rapid prototyping, agile development, and experimental validation

Publication record in relevant areas (AI safety, LLMs, governance, etc.)

Benefits

Competitive base pay and equity compensation

Comprehensive health, dental, and vision insurance

Flexible remote work and PTO policy

Professional development budget

Opportunity to shape the future of AI governance

Compensation

The expected base salary range for this position is $180,000 USD. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position in the specified location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.